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1. |
Record Nr. |
UNINA9911020840003321 |
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Titolo |
Untying the Mother Tongue / ed. by Antonio Castore and Federico Dal Bo |
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Pubbl/distr/stampa |
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Berlin, : ICI Berlin Press, 2023 |
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ISBN |
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9783965580503 |
9783965580510 |
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Edizione |
[Online-Ausgabe (PDF)] |
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Descrizione fisica |
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Online-Ressource (262 Seiten) |
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Collana |
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Cultural Inquiry ; vol. 26 |
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Disciplina |
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Soggetti |
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Native language |
Language acquisition |
Linguistics |
Multilingualism |
Affect (Psychology) |
Philosophy |
Literary criticism |
Resistance |
Aufsatzsammlung |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Untying the Mother Tongue explores what it might mean today to speak of someone's attachment to a particular, primary language. Traditional conceptions of mother tongue are often seen as an expression of the ideology of a European nation-state. Yet, current celebrations of multilingualism reflect the recent demands of global capitalism, raising other challenges. The contributions from international scholars on literature, philosophy, and culture, analyze and problematize the concept of 'mother tongue', rethinking affective and cognitive attachments to language while deconstructing its metaphysical, capitalist, and colonialist presuppositions. |
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2. |
Record Nr. |
UNINA9910437846303321 |
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Autore |
Cleophas Ton J |
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Titolo |
Machine Learning in Medicine : Part Three / / by Ton J. Cleophas, Aeilko H. Zwinderman |
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Pubbl/distr/stampa |
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Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (XIX, 224 p. 41 illus.) |
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Disciplina |
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Soggetti |
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Medicine |
Statistics |
Optical data processing |
Biomedicine, general |
Medicine/Public Health, general |
Statistics, general |
Computer Imaging, Vision, Pattern Recognition and Graphics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface -- Introduction to Machine Learning Part Three.- Evolutionary Operations.- Multiple Treatments -- Multiple Endpoints -- Optimal Binning -- Exact P-Values -- Probit Regression -- Over - dispersion.10 Random Effects -- Weighted Least Squares -- Multiple Response Sets -- Complex Samples -- Runs Tests.- Decision Trees -- Spectral Plots -- Newton's Methods -- Stochastic Processes, Stationary Markov Chains -- Stochastic Processes, Absorbing Markov Chains -- Conjoint Models -- Machine Learning and Unsolved Questions -- Index. |
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Sommario/riassunto |
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Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, fuzzy modeling, various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, association rule learning, anomaly detection, and correspondence analysis. This third volume addresses more advanced methods and includes subjects like |
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evolutionary programming, stochastic methods, complex sampling, optional binning, Newton's methods, decision trees, and other subjects. Both the theoretical bases and the step by step analyses are described for the benefit of non-mathematical readers. Each chapter can be studied without the need to consult other chapters. Traditional statistical tests are, sometimes, priors to machine learning methods, and they are also, sometimes, used as contrast tests. To those wishing to obtain more knowledge of them, we recommend to additionally study (1) Statistics Applied to Clinical Studies 5th Edition 2012, (2) SPSS for Starters Part One and Two 2012, and (3) Statistical Analysis of Clinical Data on a Pocket Calculator Part One and Two 2012, written by the same authors, and edited by Springer, New York. |
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